AI Engineer (Generalist) — Cross-Cloud & LLM Solutions

Optomi

United States

On-site

USD 120,000 - 210,000

Full time

5 days ago
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Job summary

Optomi is partnering with a leading consulting organization to build out a dedicated AI engineering team supporting client initiatives across industries. This generalist AI developer role focuses on concepts and implementation, not tied to a single technology or cloud.

You'll work across AWS, Azure, and GCP, applying AI/ML knowledge to real-world problems, collaborating with architects and business stakeholders, and delivering practical AI solutions.

Qualifications

  • Experience designing or implementing AI-powered applications.
  • Strong understanding of AI/ML concepts and generative AI.
  • Familiarity with LLMs, AI agents, RAG, and AI APIs.

Responsibilities

  • Design, develop, and implement AI-powered applications, tools, and solutions for client needs.
  • Work with AI agents, LLMs, generative AI, RAG, AI workflows, and related technologies.
  • Apply core AI engineering concepts to solve business and technical problems across industries.
  • Work across AWS, Azure, and GCP, selecting technologies based on engagement needs.
  • Develop solutions using a variety of languages, frameworks, APIs, and AI/ML tooling.
  • Collaborate with architects, engineers, data professionals, and stakeholders to translate requirements.
  • Evaluate emerging AI technologies and apply them to real-world client use cases.
  • Contribute to architecture, development, testing, deployment, and improvement of AI solutions.
  • Adapt to different technology environments and client requirements across engagements.

Skills

AI/ML concepts
LLMs / AI agents
Prompt engineering
Cross-cloud: AWS/Azure/GCP
Programming languages

Tools

APIs
DevTools

Job description

Optomi is partnering with a leading consulting organization to build out a dedicated AI engineering team supporting client initiatives across industries. This generalist AI developer role focuses on concepts and implementation, not tied to a single technology or cloud.

You'll work across AWS, Azure, and GCP, applying AI/ML knowledge to real-world problems, collaborating with architects and business stakeholders, and delivering practical AI solutions.

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